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» Adaptive Particle Swarm Optimization
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CEC
2007
IEEE
14 years 1 months ago
Opposition-based particle swarm algorithm with cauchy mutation
—Particle Swarm Optimization (PSO) has shown its fast search speed in many complicated optimization and search problems. However, PSO could often easily fall into local optima. T...
Hui Wang, Hui Li, Yong Liu, Changhe Li, Sanyou Y. ...
GECCO
2005
Springer
106views Optimization» more  GECCO 2005»
14 years 1 months ago
Dynamic-probabilistic particle swarms
James Kennedy
GECCO
2007
Springer
140views Optimization» more  GECCO 2007»
14 years 1 months ago
On the moments of the sampling distribution of particle swarm optimisers
A method is presented that allows one to exactly determine all the characteristics of a PSO’s sampling distribution and explain how it changes over time, in the presence stochas...
Riccardo Poli
GECCO
2004
Springer
142views Optimization» more  GECCO 2004»
14 years 29 days ago
Evolutionary Computation Techniques for Optimizing Fuzzy Cognitive Maps in Radiation Therapy Systems
Abstract. The optimization of a Fuzzy Cognitive Map model for the supervision and monitoring of the radiotherapy process is proposed. This is performed through the minimization of ...
Konstantinos E. Parsopoulos, Elpiniki Papageorgiou...
GECCO
2003
Springer
14 years 23 days ago
Optimization Using Particle Swarms with Near Neighbor Interactions
This paper presents a modification of the particle swarm optimization algorithm (PSO) intended to combat the problem of premature convergence observed in many applications of PSO. ...
Kalyan Veeramachaneni, Thanmaya Peram, Chilukuri K...